Practical guide

Knowledge base AI agent with tools and paid access

How to turn docs, FAQs, policies, examples, and safe tools into a knowledge base AI agent that can be public, protected, or paid. Prostir keeps the source setup explicit, the endpoint hosted, and access rules attached to the published agent.

Start with selected sources

A knowledge base AI agent should answer from material you deliberately attach: docs, FAQs, policies, guides, examples, product pages, or support playbooks.
It should say when the source material is missing, stale, or not enough to answer the question.
It can call tools for live checks, but those tools should be narrow, authenticated, logged, and connected to the agent's job.

Build the agent around knowledge, tools, and access

The useful version is not a chatbot pasted on top of a folder. It is a published agent with source ownership and access rules.

01
Define the support or expert job.
Name what the agent answers, what it refuses, and when it should hand off to a person.
02
Attach source material.
Add docs, FAQs, policies, pages, examples, and updates that the agent is allowed to use.
03
Add controlled tools.
Expose only safe actions such as plan lookup, order check, booking link, eligibility check, or internal status lookup.
04
Choose access.
Keep the agent public or protect it with grants. For paid access, eligible Stripe Connect sellers can offer one-time payments and subscriptions; Rozetka Pay is only for one-time UAH sales in Ukraine. The provider settles directly to the seller, who remains responsible for taxes, delivery and fulfillment, refunds, disputes, warranties, and customer obligations.
05
Publish and test.
Publish the hosted endpoint, test real questions, check failure states, and update sources when answers are weak.

Knowledge-base checklist

docsource docsThe approved docs, FAQs, policies, examples, and pages the agent can answer from.

codetoolsNarrow API calls or helpers for live checks, never every internal capability.

dataaccess rulesPublic, protected, paid, owner-managed, and revocation settings.

linkhosted endpointThe HTTPS public agent surface or remote MCP endpoint clients can connect to when supported.

From support docs to paid expert agent

A founder wants support answers for everyone and deeper paid advice for customers.

ChatGPT

Build a knowledge base AI agent from our docs and FAQs. Public users can ask basics, paid users can ask plan-specific questions.

I will attach the approved docs, add a plan lookup tool, set public and paid access rules, then publish the hosted agent.

prostir_agents_validate

Agent has source material, tool boundaries, access rules, and publishable slug.

prostir_agents_publish

Knowledge base AI agent published. HTTPS endpoint, access checks, and setup material are ready.

Live

Public answers use approved sources. Paid users can trigger entitled checks through controlled tools.

Answer for search and AI overviews

A knowledge base AI agent is useful when it answers from selected source material, names uncertainty, and can use controlled tools for live checks.
Prostir hosts the agent, knowledge setup, tools, auth, paid access, quotas, and endpoint together instead of scattering them across scripts.
The agent does not automatically know every document you own. You choose the sources, publish the agent, and test the answers.

What gets published

Visitors, customers, or paid users get one hosted agent for answers, checks, and next steps. The owner controls which knowledge is indexed, which tools are available, who can access it, and when payment or revocation applies.

Solutions

Knowledge base chatbot for answers buried in documents

Organize approved resources as Agent Knowledge, keep updates owner-controlled, and publish an Agent that can search the current knowledge available to it.

Plan paid document access See the solution

Solutions

Start with the questions people repeat

Bring a small set of authoritative documents and the questions they should answer. We will help define a useful first knowledge Agent.